The Farming Intelligence System of Systems (FISS)’s AI algorithm will make use of a combination of supervisioned machine learning(e.g.: neural networks, clustering, among others) and deep learning(Google TensorFlow based) technologies. Unlike conventional AI based decision support Agriculture solutions, this algorithm, developed by the Xilbi’s team, is able to analyse and deliver forecasts and recommendations to farmers, starting from one single type(e.g. water amount) of data to hundreds data types(e.g.: combined forecast based in water amount, weather variables, crop type, soil nutrients, energy requirements).
